Machine Learning Engineer

Job title: Machine Learning Engineer

Company: Baringa


Job description: Machine Learning EngineerAbout Baringa:
We set out to build the world’s most trusted consulting firm – creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector.You’ll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life. Our clients love how we get to know what makes their organisations tick – slotting seamlessly into their teams and being proudly geeky about solving their challenges.We have hubs in Europe, the US, Asia and Australia, and we work all around the world – from a wind farm in Wyoming to a boardroom in Berlin. Find us wherever there’s a challenge to be tackled and an impact to be made.Our SAIL (Solutions and AI Lab) practice are looking for an experienced Machine Learning Engineer to join the team.In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects – ranging from tools that support energy networks forecast risk and adapt to climate change using empirically-derived resilience models, to image recognition software using satellite and aerial imagery, to genAI-powered applications including bespoke assistants and agents.We are focused on delivering value-adding solutions aligned to our client’s specific needs. This expertise is applied across clients in all of our industry market sectors (Financial Services, Products & Services, Energy & Resources, Pharmaceutical & Lifesciences and Government).Curious what that impact looks like? Check out our to see how we accelerated low-carbon device roll-outs for the UK.What you will be doingYou will be using your experience to help our clients solve their most important data challenges. You would be also responsible to support the growth of our team, helping them to build the skills they need to solve our client’s challenges. Typical engagements include:

• Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance
• Establishing and developing ML Ops frameworks and standards for clients and embedding within their infrastructure
• Working with clients to take them on the journey, upskilling along the way and ensuring they are kept in the loop and can take ownership after you roll off the project
• Performing maturity assessments across clients’ Cloud/AI environments and recommending improvements
• Building ML strategy blueprints and advising clients on the different technology options
• Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisations strategy, policies and standards and in some cases, help customers to define new policies, philosophies and standards
• Helping clients to identify risks and mitigations for their ML and DS programmes, as well as transition from on-prem to modern cloud-based infrastructures (AWS, Azure, GCP)
• Working with clients in key areas of ML model governance, such as in defining philosophies including fairness, transparency, interpretability, and accountability

Your skills and experienceWe are seeking passionate and dynamic ML engineers who are excited by building production ML solutions, and keen to take an active part in the growth of the company. We’re looking for people who can both advise our clients and get hands on in technical delivery to bring a solution to life.

• Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements
• Advanced degree in computer science, mathematics, physics, engineering or related STEM field
• Strong problem-solving skills and solid grounding in classical ML and deep learning: from applied statistics and traditional machine learning algorithms to transformers and SOTA deep learning
• Excellent collaboration and communication skills, both with teams and in client-facing engagements
• Interested in building AI applications, ranging from forecasting tools to image recognition applications and LLM-based chatbots and agents
• Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments
• Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements, adhering to software engineering best practices and with exposure to version control, testing, MLOps, CI/CD and API design
• Hands on experience in using one of 3 major cloud technologies (AWS, Azure or GCP) in a production environment, as well as ML platforms (e.g., AWS Sagemaker, Azure Machine Learning studio)
• Be a ‘lifelong learner’ and can demonstrate a drive to always be learning and developing your skillsets and develop the skillsets of others around you

We recruit individuals at all levels based on merit. Don’t worry about ‘fitting into a quota’ – if you’ve got the skills we are after we would love to talk to you.What a career at Baringa will give youPutting People First.
Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include:

• Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service.
• Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave.
• Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us.
• Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice.
• Career Progression: No one develops at the same pace. That’s why we have quarterly rather than annual promotion reviews. We don’t have any quotas: if you’re ready and delivering at the right level, you’ll get that promotion.
• Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success.

Diversity and Inclusion.
We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people.An award-winning workplace.
You can be a part of our ‘Great Place to Work’ – with our commitment to women and well-being in the workplace for all. to see some of our recent awards and how we’ve achieved this.Using business as a force for good.
We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis – helping us to continually identify where we can improve.We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have.Join usAll applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process, ensuring reasonable adjustments where needed. Please contact a member of our Recruitment Team to discuss further.

Expected salary:

Location: London

Job date: Sat, 31 May 2025 05:43:29 GMT

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